Model-J MAE
Collection
1002 items
โข
Updated
This model is part of the Model-J dataset, introduced in:
Learning on Model Weights using Tree Experts (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
๐ Project | ๐ Paper | ๐ป GitHub | ๐ค Dataset
| Attribute | Value |
|---|---|
| Subset | MAE |
| Split | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 10 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9966 |
| Val Accuracy | 0.5536 |
| Test Accuracy | 0.5466 |
The model was fine-tuned on the following 50 CIFAR100 classes:
spider, butterfly, sea, beetle, chair, rose, maple_tree, seal, lizard, bowl, bottle, boy, leopard, table, pear, tank, hamster, couch, wolf, cattle, pine_tree, skunk, dolphin, ray, bus, mountain, mushroom, house, snail, castle, flatfish, beaver, plate, cup, man, turtle, lawn_mower, television, streetcar, squirrel, lamp, crab, kangaroo, train, pickup_truck, sunflower, bed, worm, sweet_pepper, rabbit
Base model
facebook/vit-mae-base